Evidence map›Paper›PMID 37520991›Full record

ArticleHeliyon2023

Etiologies and factors associated with mortality in patients with non-traumatic coma in a tertiary hospital in Bukavu, eastern Democratic Republic of the Congo.

Guy-Quesney Mateso, Samuel Makali, Ashuza Shamamba, Balola Ntaboba, Victoire Urbain, Musingilwa Eric, Emmanuel Murhabazi, Martine Mihigo, Pacifique Mwene-Batu, Landry Kabego and 1 more

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 29% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Outcome of non-traumatic coma in a tertiary referral hospital in Cameroon.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 2 countries.

Guy-Quesney MatesoUniversité Catholique de Bukavu (UCB), Bukavu, The Democratic Republic of the Congo.
Samuel MakaliDepartment of Internal Medicine, Hôpital Provincial Général de Référence de Bukavu (HPGRB), Bukavu, The Democratic Republic of the Congo.
Ashuza ShamambaUniversité Catholique de Bukavu (UCB), Bukavu, The Democratic Republic of the Congo.
Balola NtabobaUniversité Catholique de Bukavu (UCB), Bukavu, The Democratic Republic of the Congo.
Victoire UrbainUniversité Catholique de Bukavu (UCB), Bukavu, The Democratic Republic of the Congo.
Musingilwa EricUniversité Catholique de Bukavu (UCB), Bukavu, The Democratic Republic of the Congo.
Emmanuel MurhabaziUniversité Catholique de Bukavu (UCB), Bukavu, The Democratic Republic of the Congo.
Martine MihigoDepartment of Internal Medicine, Hôpital Provincial Général de Référence de Bukavu (HPGRB), Bukavu, The Democratic Republic of the Congo.
Pacifique Mwene-BatuDepartment of Internal Medicine, Hôpital Provincial Général de Référence de Bukavu (HPGRB), Bukavu, The Democratic Republic of the Congo.
Landry KabegoDepartment of Medical Biology, Hôpital Provincial Général de Référence de Bukavu (HPGRB), Bukavu, The Democratic Republic of the Congo.
Marius BagumaUniversité Catholique de Bukavu (UCB), Bukavu, The Democratic Republic of the Congo.
Université Catholique de Bukavu · CDKinshasa General Hospital · CD

Funding

World Health Organization 001
6 · The paper itself

Abstract

Non-traumatic coma (NTC) is a common medical condition often associated with poor outcomes. Identifying underlying causes is crucial for effective management and prognostication, particularly in resource-poor settings. This study aimed to identify the most common causes and prognostic factors of NTC in a tertiary hospital in Bukavu, in the eastern Democratic Republic of the Congo (DRC), using the Glasgow Coma Scale (GCS) as well as other simple and affordable clinical and paraclinical tools. This retrospective observational study included 219 consecutive patients admitted to the intensive care unit of the Provincial General Hospital of Bukavu between January 2016 and December 2018. Sociodemographic, clinical, and laboratory data were also collected. Bivariate and multivariate analyses were performed to identify different causes and factors associated with poor outcomes in these patients. The median age of the patients was 49 (interquartile range [IQR]: 33-61) years, and they were predominantly men (62.8%). The most common causes of NTC were stroke (25.7%), acute metabolic complications of diabetes (21.9%), and primary brain infections (meningoencephalitis, 16.0%; and cerebral malaria, 14.2%). The NTC-related in-hospital mortality rate was 35.2%. A high mortality was significantly and independently associated with a GCS<7 (adjusted odds ratio [OR]: 4.30, 95% confidence interval [CI]: 1.73-10.71), the presence of meningismus at clinical evaluation (adjusted odds ratio [aOR] 3.86, 95%CI: 1.41-10.55), oxygen saturation <90% (aOR 3.99, 95%CI: 1.71-9.28), the consumption of traditional herbal medicines prior to hospital admission (aOR 2.82, 95%CI: 1.16-6.86), and elevated serum creatinine (aOR 1.64, 95%CI: 1.17-2.29). In conclusion, clinical neurological examinations, along with simple and affordable paraclinical investigations, can provide sufficient information to determine the etiology of NTC and evaluate the prognosis of comatose patients, even in resource-poor settings. Physicians may use the GCS as a simple, reliable, and affordable tool to identify patients who require special attention and care.

Indexed as

ComaEtiologyHospital mortalityIntensive care unitsPrognosis

Identifiers

PMID37520991
PMCPMC10382283
OpenAlexW4384936973

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.